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Understanding the Interrelationship Between Commodity and Stock Indices Daily Movement Using ACE and Recurrence Analysis

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Translational Recurrences

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 103))

Abstract

The relationship between the temporal evolution of the commodity market and the stock market has long term implications for policy makers, and particularly in the case of emerging markets, the economy as a whole. We analyze the complex dynamics of the daily variation of two indices of stock and commodity exchange respectively of India. To understand whether there is any difference between emerging markets and developed markets in terms of a dynamic correlation between the two market indices, we also examine the complex dynamics of stock and commodity indices of the US market. We compare the daily variation of the commodity and stock prices in the two countries separately. For this purpose we have considered commodity India along with Dow Jones Industrial Average (DJIA) and Dow Jones-AIG Commodity (DJ-AIGCI) indices for stock and commodities, USA, from June 2005 to August 2008. To analyse the dynamics of the time variation of the indices we use a set of analytical methods based on recurrence plots. Our studies show that the dynamics of the Indian stock and commodity exchanges have a lagged correlation while those of US market have a lead correlation and a weaker correlation.

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References

  1. Reddy, Y.V., Sebastin, A.: J Altern. Investments 11, 85 (2009). doi:10.3905/JAI.2009.11.3.085

    Article  Google Scholar 

  2. Voss, H., Kurths, J.: Phys. Lett. A 234(5), 336 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  3. Eckmann, J.P., Kamphorst, S.O., Rullelle, D.: Europhys. Lett. 5, 973 (1987). doi:10.1209/0295-5075/4/9/004

    Article  Google Scholar 

  4. Marwan, N., Romano, M.C., Thiel, M., Kurths, J.: Phys. Rep. 438(5–6), 237 (2007). doi:10.1016/j.physrep.2006.11.001

    Article  MathSciNet  Google Scholar 

  5. Pesaran, M., Potter, S.: Nonlinear Dynamics, Chaos and Econometrics. Wiley, New York (1993)

    MATH  Google Scholar 

  6. Campbell, J., Lo, A., MacKinlay, A.: The Econometrics of Financial Markets. Princeton University Press, Princeton (1997)

    MATH  Google Scholar 

  7. Barnett, W.A., Jungeilges, J.A., Gallant, A., Kaplan, D.T., Hinich, M.J., Jensen, M.J.: A single-blind controlled competition among tests for nonlinearity and chaos. J Econom. 82(1), 157–192 (2000). doi:10.1016/S0304-4076(97)00081-X

    Article  Google Scholar 

  8. Hsieh, D.A.: J. Bus. 62, 339 (1989). doi:10.1086/296466

    Article  Google Scholar 

  9. Hsieh, D.A.: J. Finance 46, 1839 (1991). doi:10.2307/2328575

    Article  Google Scholar 

  10. Scheinkman, J., LeBaron, B.: J. Bus. 62, 311 (1989)

    Article  Google Scholar 

  11. Abhyankar, A., Copeland, L.S., Wong, W.: Econ. J. 105, 864 (1995)

    Article  Google Scholar 

  12. Steurer, E.: Neural Networks in the Capital Markets. Wiley, New York (1995)

    Google Scholar 

  13. Brooks, C.: Appl. Financ. Econ. 6(4), 307 (1996)

    Article  Google Scholar 

  14. Barkoulas, J., Travlos, N.: Appl. Financ. Econ. 8, 231 (1998). doi:10.1080/096031098332998

    Article  Google Scholar 

  15. Opong, K.K., Mulholland, G., Fox, A.F., Farahmand, K.: J. Empir. Finance 6(3), 267 (1999)

    Article  Google Scholar 

  16. Goswami, B., Ambika, G., Marwan, N., Kurths, J.: Phys. A 391, 4364 (2012). doi:10.1016/j.physa.2012.04.018

    Article  Google Scholar 

  17. Hinich, M., Patterson, D.: Economic complexity: chaos, sunspots, bubblesand nonlinearity. In: Barnett W., Geweke J., Shell K. (eds.) International Symposium in Economic Theory and Econometrics, pp. 383–409. Cambridge University Press, Cambridge (1989)

    Google Scholar 

  18. Taylor, M., Peel, D.: J. Int. Money Finance 19, 33 (2000)

    Article  Google Scholar 

  19. Sarno, L.: Appl. Econ. Lett. 7, 285 (2000)

    Article  Google Scholar 

  20. Bierens, H.J.: J. Econom. 77, 379 (1997). doi:10.1016/S0304-4076(96)01820-9

    Article  MATH  MathSciNet  Google Scholar 

  21. Chortareas, G., Kapetanios, G., Shin, Y.: Econ. Lett. 77, 411 (2002)

    Article  MATH  Google Scholar 

  22. Kapetanios, G., Shinn, Y., Snell, A.: J. Econom. 112, 359 (2003)

    Article  MATH  Google Scholar 

  23. Baek, E., Brock, W.: Working Paper. Iowa State University and University of Wisconsin at Madison (1992)

    Google Scholar 

  24. Breiman, L., Friedman, J.H.: J. Am. Stat. Assoc. 80(391), 580 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  25. Crowley, P.M.: Eur. Phys J. - Special Topics 164(1), 67 (2008). doi:10.1140/epjst/e2008-00835-3

  26. Crowley, P.M., Schultz, A.: Int. J. Bifurcat. Chaos 21(4), 1215 (2011). doi:10.1142/S0218127411028957

    Article  Google Scholar 

  27. Donner, R.V., Small, M., Donges, J.F., Marwan, N., Zou, Y., Xiang, R., Kurths, J.: Int. J. Bifurcat. Chaos 21(4), 1019 (2011). doi:10.1142/S0218127411029021

    Article  MATH  MathSciNet  Google Scholar 

  28. Cross Recurrence Plot Toolbox. http://tocsy.pikpotsdam.de 21-Jul-2009

  29. Voss, H.U., Kolodner, P., Abel, M., Kurths, J.: Phys. Rev. Lett. 83(17), 3422 (1999)

    Article  Google Scholar 

  30. Voss, H., Kurths, J.: Chaos Solitons Fractals 10(4), 805 (1999)

    Google Scholar 

  31. Fraser, A., Swinney, H.: Phys. Rev. A 33, 1134 (1986)

    Article  MATH  MathSciNet  Google Scholar 

  32. Kennel, M., Brown, R., Abarbanel, H.: Phys. Rev. A 45, 3403 (1992). doi:10.1103/PhysRevA.45.3403

    Article  Google Scholar 

  33. Marwan, N., Kurths, J.: Phys. Lett. A 302(5–60), 299 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  34. Zbilut, J.P., Webber Jr, C.L.: Phys. Lett. A 171(3–4), 199 (1992). doi:10.1016/0375-9601(92)90426-M

    Article  Google Scholar 

  35. Marwan, N.: Eur. Phys. J. - Special Topics 164(1), 3 (2008)

    Article  MathSciNet  Google Scholar 

  36. Marwan, N., Donges, J.F., Zou, Y., Donner, R.V., Kurths, J.: Phys. Lett. A 373(46), 4246 (2009). doi:10.1016/j.physleta.2009.09.042

    Article  MATH  Google Scholar 

  37. Donner, R.V., Zou, Y., Donges, J.F., Marwan, N., Kurths, J.: New J. Phys. 12(3), 033025 (2010). doi:10.1088/1367-2630/12/3/033025

    Article  Google Scholar 

  38. Zou, Y., Donner, R.V., Donges, J.F., Marwan, N., Kurths, J.: Chaos 20(4), 043130 (2010). doi:10.1063/1.3523304

    Article  Google Scholar 

  39. Donner, R.V., Heitzig, J., Donges, J.F., Zou, Y., Marwan, N., Kurths, J.: Eur. Phys. J. B 84, 653 (2011). doi:10.1140/epjb/e2011-10899-1

    Article  MathSciNet  Google Scholar 

  40. Schinkel, S., Dimigen, O., Marwan, N., Kurths, J.: Phys. Lett. A 373, 2245 (2009). doi:10.1016/j.physleta.2009.04.045

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Indian Institute of Management Kozhikode, IIMK Campus, Kozhikode, 673570, Kerala, India

    Kousik Guhathakurta

  2. Potsdam Institute for Climate Impact Research (PIK), P.O. Box 60 12 03, 14412, Potsdam, Germany

    Norbert Marwan

  3. Department of Economics, Jadavpur University, Kolkata, 700032, India

    Basabi Bhattacharya

  4. Department of Physics, Jadavpur University, Kolkata, 700032, India

    A. Roy Chowdhury

Authors
  1. Kousik Guhathakurta
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  2. Norbert Marwan
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  3. Basabi Bhattacharya
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  4. A. Roy Chowdhury
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Corresponding author

Correspondence to Kousik Guhathakurta .

Editor information

Editors and Affiliations

  1. Potsdam Institute for Climate Impact Res, Potsdam, Germany

    Norbert Marwan

  2. Dept. of Psychology, University of Cincinnati, Cincinnati, Ohio, USA

    Michael Riley

  3. Istituto Superiore di Sanita, Rome, Italy

    Alessandro Giuliani

  4. Loyola University Chicago, Stritch School of Medicine, Health Sciences Division,Dept. of Cell and Molecular Physiology, Maywood, Illinois, USA

    Charles L. Webber, Jr.

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Guhathakurta, K., Marwan, N., Bhattacharya, B., Chowdhury, A.R. (2014). Understanding the Interrelationship Between Commodity and Stock Indices Daily Movement Using ACE and Recurrence Analysis. In: Marwan, N., Riley, M., Giuliani, A., Webber, Jr., C. (eds) Translational Recurrences. Springer Proceedings in Mathematics & Statistics, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-319-09531-8_13

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